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DagsHub-Science
/
seamless_communication
mirror of https://github.com/facebookresearch/seamless_communication

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ggml.pc.in 241 B
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  1. prefix=@CMAKE_INSTALL_PREFIX@
    2. 

  2. exec_prefix=${prefix}
    3. 

  3. includedir=${prefix}/include
    4. 

  4. libdir=${prefix}/lib
    5. 

  5. 

  6. Name: ggml
    7. 

  7. Description: The GGML Tensor Library for Machine Learning
    8. 

  8. Version: 0.0.0
    9. 

  9. Cflags: -I${includedir}/ggml
    10. 

  10. Libs: -L${libdir} -lggml
    11.
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Integrate Google Cloud Storage
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Integrate Azure Cloud Storage
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Use Azure Cloud Storage!

Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

seamless_communication is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes